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import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
import streamlit as st
from streamlit_chat import message
from query_methods import query, avail_query_methods
import pickle
import openai_rev
conversations_file = "conversations.pkl"
def load_conversations():
try:
with open(conversations_file, "rb") as f:
return pickle.load(f)
except FileNotFoundError:
return []
def save_conversations(conversations, current_conversation):
updated = False
for i, conversation in enumerate(conversations):
if conversation == current_conversation:
conversations[i] = current_conversation
updated = True
break
if not updated:
conversations.append(current_conversation)
with open(conversations_file, "wb") as f:
pickle.dump(conversations, f)
st.header("Chat Placeholder")
if 'conversations' not in st.session_state:
st.session_state['conversations'] = load_conversations()
if 'input_text' not in st.session_state:
st.session_state['input_text'] = ''
if 'selected_conversation' not in st.session_state:
st.session_state['selected_conversation'] = None
if 'input_field_key' not in st.session_state:
st.session_state['input_field_key'] = 0
if 'query_method' not in st.session_state:
st.session_state['query_method'] = query
# Initialize new conversation
if 'current_conversation' not in st.session_state or st.session_state['current_conversation'] is None:
st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
input_placeholder = st.empty()
user_input = input_placeholder.text_input('You:', key=f'input_text_{len(st.session_state["current_conversation"]["user_inputs"])}')
submit_button = st.button("Submit")
if user_input or submit_button:
output = query(user_input, st.session_state['query_method'])
st.session_state.current_conversation['user_inputs'].append(user_input)
st.session_state.current_conversation['generated_responses'].append(output)
save_conversations(st.session_state.conversations, st.session_state.current_conversation)
user_input = input_placeholder.text_input('You:', value='', key=f'input_text_{len(st.session_state["current_conversation"]["user_inputs"])}') # Clear the input field
# Add a button to create a new conversation
if st.sidebar.button("New Conversation"):
st.session_state['selected_conversation'] = None
st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
st.session_state['input_field_key'] += 1
print(openai_rev.Provider.__methods__.keys())
st.session_state['query_method'] = st.sidebar.selectbox(
"Select API:",
options=openai_rev.Provider.__members__.keys(),
index=0
)
# Sidebar
st.sidebar.header("Conversation History")
for i, conversation in enumerate(st.session_state.conversations):
if st.sidebar.button(f"Conversation {i + 1}: {conversation['user_inputs'][0]}", key=f"sidebar_btn_{i}"):
st.session_state['selected_conversation'] = i
st.session_state['current_conversation'] = st.session_state.conversations[i]
if st.session_state['selected_conversation'] is not None:
conversation_to_display = st.session_state.conversations[st.session_state['selected_conversation']]
else:
conversation_to_display = st.session_state.current_conversation
if conversation_to_display['generated_responses']:
for i in range(len(conversation_to_display['generated_responses']) - 1, -1, -1):
message(conversation_to_display["generated_responses"][i], key=f"display_generated_{i}")
message(conversation_to_display['user_inputs'][i], is_user=True, key=f"display_user_{i}")
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